Application of Deformation Model in Data Processing of Foundation Pit Deformation Monitoring
In the traditional foundation pit deformation monitoring engineering, the data processing process often only paid attention to the simple calculation of the historical measured data to judge whether its change exceeds the limit, but the internal change law of the deformation data and the deformation prediction analysis were insufficient. In view of this problem, this paper studied the application of different deformation models in the data processing of foundation pit deformation monitoring, briefly described the regression analysis model, artificial neural network model and grey theory model, and considered the influence factors of Anchor Cable axial force, so as to expanded and improved the traditional deformation analysis model. Combined with a foundation pit project, the listed deformation models were analyzed and compared from the perspective of practical application. With the help of MATLAB software, these model were programmed. The experimental results show that the improved model considering the influence of Anchor Cable axial force has high fitting accuracy. It was suitable for data processing of foundation pit deformation monitoring.
deformation monitoringaxial force of anchor cabledeformation modelforecast
万方数据
维普
